A review of artificial intelligence in prostate cancer detection on imaging

I Bhattacharya, YS Khandwala… - … advances in urology, 2022 - journals.sagepub.com
A multitude of studies have explored the role of artificial intelligence (AI) in providing
diagnostic support to radiologists, pathologists, and urologists in prostate cancer detection …

Application of swarm intelligence optimization algorithms in image processing: A comprehensive review of analysis, synthesis, and optimization

M Xu, L Cao, D Lu, Z Hu, Y Yue - Biomimetics, 2023 - mdpi.com
Image processing technology has always been a hot and difficult topic in the field of artificial
intelligence. With the rise and development of machine learning and deep learning …

[HTML][HTML] MicroSegNet: A deep learning approach for prostate segmentation on micro-ultrasound images

H Jiang, M Imran, P Muralidharan, A Patel… - … Medical Imaging and …, 2024 - Elsevier
Abstract Micro-ultrasound (micro-US) is a novel 29-MHz ultrasound technique that provides
3-4 times higher resolution than traditional ultrasound, potentially enabling low-cost …

A novel Residual and Gated Network for prostate segmentation on MR images

L Ma, Q Fan, Z Tian, L Liu, B Fei - Biomedical Signal Processing and …, 2024 - Elsevier
Reliable and automated segmentation of the prostate in magnetic resonance (MR) images is
critical for the diagnosis and treatment of prostate cancer. The unclear boundary of the …

Segmentation of male pelvic organs on computed tomography with a deep neural network fine-tuned by a level-set method

G Almeida, AR Figueira, J Lencart… - Computers in biology and …, 2022 - Elsevier
Computed Tomography (CT) imaging is used in Radiation Therapy planning, where the
treatment is carefully tailored to each patient in order to maximize radiation dose to the target …

Topology‐aware anatomical segmentation of the Circle of Willis: HUNet unveils the vascular network

MSS Junayed, KS Sanjid, MT Hossain… - IET Image …, 2024 - Wiley Online Library
This research investigates the Circle of Willis, a critical vascular structure vital for cerebral
blood supply. A modified novel dual‐pathway multi‐scale hierarchical upsampling network …

Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation

N Aldoj, F Biavati, M Dewey, A Hennemuth… - Scientific Reports, 2022 - nature.com
Magnetic resonance elastography (MRE) for measuring viscoelasticity heavily depends on
proper tissue segmentation, especially in heterogeneous organs such as the prostate. Using …

SCU-Net: shape constraint U-Net for prostate segmentation in MR images

Y Zhao, K Lu, J Xue, B Huang, H Wang… - Medical Imaging …, 2022 - spiedigitallibrary.org
Accurate segmentation of prostate magnetic resonance (MR) images provides sufficient
information for the diagnosis and treatment of prostate cancer. However, the automatic …